Smartphone-based platforms implementing microfluidic detection with image-based artificial intelligence

Wang, Bangfeng; Li, Yiwei; Zhou, Mengfan; Han, Yulong; Zhang, Mingyu; Gao, Zhaolong; Liu, Zetai; Chen, Peng; Du, Wei; Zhang, Xingcai; Feng, Xiaojun; Liu, Bi‐Feng

doi:10.1038/s41467-023-36017-x

reviewNature CommunicationsMar 11, 2023GOLD OA

Smartphone-based platforms implementing microfluidic detection with image-based artificial intelligence

BWBangfeng Wang YLYiwei Li MZMengfan Zhou YHYulong Han MZMingyu Zhang

Wuhan National Laboratory for Optoelectronics · Huazhong University of Science and Technology · +2 more institutions

PubMed

Indexed incrossrefdoajpubmed

Abstract

The frequent outbreak of global infectious diseases has prompted the development of rapid and effective diagnostic tools for the early screening of potential patients in point-of-care testing scenarios. With advances in mobile computing power and microfluidic technology, the smartphone-based mobile health platform has drawn significant attention from researchers developing point-of-care testing devices that integrate microfluidic optical detection with artificial intelligence analysis. In this article, we summarize recent progress in these mobile health platforms, including the aspects of microfluidic chips, imaging modalities, supporting components, and the development of software algorithms. We document the…

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222

total citations

FWCI: 23.11
Percentile: 100%
References: 206

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Authors

12

Topics & keywords

Topics

Keywords

Computer science
Microfluidics
Modalities
Point-of-care testing
Point of care
Software
Data science
Mobile device

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